Defibrillation threshold simulations on three-dimensional computer heart model

Rose Province, Matthew Fishler, Nitish Thakor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

A computer model to investigate the electrical dynamics of a heart subjected to defibrillation-level shocks has been developed. For simulations with low defibrillation thresholds (DFTs), analysis of isochronal maps produced just after the defibrillation pulse revealed a distinct division of the heart into two volumes of excitable cells completely separated by a wall of refractory cells. Conversely, simulations with high DFTs never displayed this complete functional division of the heart. Every successful defibrillation (DF) trial has a postshock isoelectric window (i.e. period of no electric activation) greater than or equal to 156 ms, compared with less than 82 ms for unsuccessful DF. Simulations with two consecutive constant-duration (5 ms each), variable-amplitude, variable-interval DF pulses were performed. The double-pulse DF with the 65-ms interval demonstrates an average reduction in DFT energy of 68% compared with single-pulse DF. It is concluded that the lowest DFTs are achieved with an interval of 65 ms between the pulses.

Original languageEnglish (US)
Title of host publicationBiomedical Engineering Perspectives
Subtitle of host publicationHealth Care Technologies for the 1990's and Beyond
PublisherPubl by IEEE
Pages638-639
Number of pages2
Editionpt 2
ISBN (Print)0879425598
StatePublished - Dec 1 1990
EventProceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Philadelphia, PA, USA
Duration: Nov 1 1990Nov 4 1990

Publication series

NameProceedings of the Annual Conference on Engineering in Medicine and Biology
Numberpt 2
ISSN (Print)0589-1019

Other

OtherProceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CityPhiladelphia, PA, USA
Period11/1/9011/4/90

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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